CUrriculum

Monday – Classes from 09:30 to 17:30

 

        Introduction to cartography and GIS

 

        Spatial data types: vector, raster and beyond

 

        Obtaining spatial data: online data sources

 

        Introduction to GIS with R: available packages

 

        Importing and plotting spatial data in R

 

        Mapping land cover, climate, human pressure, biodiversity

 

        Colour palettes for maps

 


Tuesday – Classes from 09:30 to 17:30

 

        Working with GPS coordinates

 

        Generating spatial data

 

        Data features and geometries

 

        Map projections and coordinate systems

 

        Spatial scale: resolution and extent

 

        Spatial data attributes

 

 


Wednesday – Classes from 09:30 to 17:30

 

        Converting plain data to spatial data

 

        Mapping data and attributes from a database

 

        Spatial database operations: join, merge, filter, subset, select by attribute or by location, summarize, calculate new attributes, plot, map

 

        Overlaying and combining spatial data

 

        Introduction to spatial analysis

 


Thursday – Classes from 09:30 to 17:30

 

        Vector GIS operations: buffer, merge, dissolve, intersect, unite, select, calculate size, vector geometry operations

 

        Raster GIS operations: rasterize, stack, crop, mask, merge, distance surface, map algebra, aggregate, disaggregate, resample, extract, calculate zonal statistics

 

        Converting between vector and raster data

 

        Spatial data interpolation

 

        Exporting maps and spatial data from R

 


Friday – Classes from 09:30 to 17:30

 

        Assisted work on a spatial project of each student’s choice, either with their own data or with provided data

 

        Student presentations

 

         Final discussion